Top Senior Data Management Jobs in San Francisco Bay Area, CA
As a Principal Data Engineer at Atlassian, you will lead the development of scalable datasets and data pipelines, manage analytical data models across various business functions, and enhance data-driven practices within the organization. Your role includes optimizing data storage and retrieval, utilizing advanced analytics tools, and fostering a data-driven culture.
As a Director of Credit Risk & Analytics at Upgrade, you will design and implement risk assessment strategies using financial data, oversee underwriting policy changes, ensure compliance with regulations, and collaborate with various departments to enhance customer experience and reduce onboarding times.
As a Senior Architect, you will provide guidance on DataBricks, design data flow and processing pipelines using modern tools like Spark, and ensure data management and integrity. You'll coach consultants, collaborate with data application owners, and contribute to best practices in a variety of sectors including Healthcare and Financial Services.
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As a Quantitative Analytics Manager at Affirm, you will work with the Capital Markets team to structure and price consumer loan transactions, develop capital structuring models, analyze loan performance, and collaborate cross-functionally to optimize funding strategies.
As Senior Director of Creator & Engine Data Science at Roblox, you will shape the data strategy for the creator ecosystem, leveraging advanced analytics, machine learning, and AI technologies to enhance creator success and optimize engine performance. You will evaluate algorithms, balance creator needs with engine development, and collaborate with cross-functional teams to drive impactful data science initiatives.
As Director of Data Science and AI, you will lead a diverse team of Data Scientists, Machine Learning Engineers, and Data Analysts. Your role involves finding AI opportunities, overseeing the design and deployment of ML solutions, and collaborating with product and engineering leaders. You will guide your team towards project objectives and contribute strategically to the company's goals.
Lead a team of engineers to develop and optimize a personalized video recommendation system. Define architecture, drive infrastructure collaboration, evaluate technical tradeoffs, and conduct design reviews to enhance system performance.
As a Senior Manager, Machine Learning Engineering, you will design, implement, and scale machine learning applications within an Agile team. Your role includes collaborating with Product and Data Science teams to develop models that address business challenges, managing ML systems, optimizing data pipelines, and ensuring adherence to best practices in responsible AI and code governance.
As a Knowledge Graph/Data Engineering Manager, you'll lead a team to solve complex business issues related to cybersecurity, privacy, and data management. This role focuses on developing data governance strategies, managing stakeholder relationships, and implementing controls to protect client data. You'll also coach team members and drive innovation within the firm.
As a Senior Data Specialist, you will develop and implement AI-based solutions for risk management, focusing on data acquisition, pipeline development, and governance. Collaborating with leadership and AI teams, you'll ensure high-quality data for analytics and reporting, drive continuous improvement, and maintain data accuracy.
Top Companies in San Francisco Bay Area, CA Hiring Senior Data Managers
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